MirahLabs Engineering Blog
Technical insights, tutorials, and architectures written by our design and backend engineers.
Load Testing Your API with Locust: From Basics to CI Integration
Load testing reveals performance bottlenecks before your users do. Learn how to write realistic Locust test scenarios, interpret results, and integrate load tests into your CI/CD pipeline.
Migrating from EC2 to ECS Fargate: A Step-by-Step Transition Guide
Moving workloads from raw virtual machines to serverless container orchestration reduces operational overhead. Learn how to containerize and deploy to ECS Fargate.
Vector Databases Compared: Pinecone vs Weaviate vs pgvector
A detailed comparison of three leading vector database solutions—Pinecone, Weaviate, and pgvector—covering performance, scalability, cost, and best-fit use cases.
Startup Metrics That Matter: LTV, CAC, Churn, and Burn Rate Explained
Don't measure progress using vanity metrics. Master the financial formulas that drive venture funding and business longevity: LTV, CAC ratio, cohort churn, and runway.
Microservices vs Monolith: Choosing the Right Architecture for Your Stage
The microservices vs. monolith debate isn't one-size-fits-all. This guide helps engineering teams choose the right architecture based on team size, scale, and product maturity.
Python Performance Profiling: Finding and Fixing Bottlenecks
Before optimizing Python code, measure first. Learn how to use cProfile, py-spy, memory_profiler, and line_profiler to identify real bottlenecks—not the ones you assume.